Research+Resources

Computer Models for the Research Community

This list outlines some of our most frequently accessed community models. Our researchers continue to develop additional models to meet specific research needs, and each NCAR laboratory provides more information about its modeling programs.

Atmospheric Chemistry

  • Atmospheric Chemistry Division: Modeling (NESL/ACD)
    NESL/ACD modeling supports two major research themes: regional and global air quality, and chemistry and climate change. More than half a dozen models are available, including MOZART, MEGAN, and WRF-Chem.

Climate & Weather

  • Community Earth System Model (CESM & CCSM4)
    CESM is a fully-coupled, global climate model providing computer simulations of Earth's past, present, and future climate states. The Community Climate System Model, version CCSM4, is a subset of CESM1.
  • Nested Regional Climate Model (NRCM)
    The NRCM combines the strengths of the Weather Research and Forecasting model (WRF) and the Community Climate System Model (CCSM) into an instrument designed to advance the understanding and prediction of regional climate variability and change.
  • Weather Research & Forecasting Model (WRF)
    The WRF model is a mesoscale numerical weather prediction system designed to serve both operational forecasting and atmospheric research needs. It supersedes the Penn State/NCAR MM5.

Sun & Outer Atmosphere

  • High Altitude Observatory: Models (HAO)
    HAO modeling focuses on numerical simulation of convection, radiation transport, and large-scale dynamics in both the solar and terrestrial atmospheres. Models include AMIE, CEDAR, TIE-GCM, and several more.

Whole Atmosphere

Testbeds

  • Data Assimilation Research Testbed (DART)
    DART is a community facility for ensemble data assimilation developed and maintained by NCAR's Institute for Mathematics Applied to Geosciences (IMAGe).
  • Joint Numerical Testbed (JNT)
    A facility within NCAR's Research Applications Laboratory with collaboration and support by an international network. Goals are the testing and evaluation of numerical weather prediction (NWP) systems to provide meaningful information about forecast performance to operational decision makers and to provide the research community with support in its  development of these systems. The JNT includes: